For the first time, eleven experts in the fields of signal
processing and biomedical engineering have contributed to an
edition on the newest theories and applications of fuzzy logic,
neural networks, and algorithms in biomedicine. Nonlinear
Biomedical Signal Processing, Volume I provides comprehensive
coverage of nonlinear signal processing techniques. In the last
decade, theoretical developments in the concept of fuzzy logic have
led to several new approaches to neural networks. This compilation
delivers plenty of real-world examples for a variety of
implementations and applications of nonlinear signal processing
technologies to biomedical problems. Included here are discussions
that combine the various structures of Kohenen, Hopfield, and
multiple-layer "designer" networks with other approaches to produce
hybrid systems. Comparative analysis is made of methods of genetic,
back-propagation, Bayesian, and other learning algorithms.

About the Editor Metin Akay is currently an assistant professor at Dartmouth College. A noted speaker, editor, and author, Dr. Akay has spent several years conducting research in the areas of fuzzy neural networks and signal processing, wavelet transform, and detection and estimation theory. His biomedical research areas include the autonomic nervous system, maturation, respiratory-related evoked response, noninvasive detection of coronary artery disease, and estimation of cardiac output. Dr. Akay is the founding series editor of the IEEE Press Series on Biomedical Engineering. In 1997 he received the prestigious Early Career Achievement Award from the IEEE Engineering in Medicine and Biology Society (EMBS). He is the program chair of both the annual IEEE EMBS Conference and Summer School for 2001. Dr. Akay has published several papers in the field and authored or coauthored eleven books, including Time Frequency and Wavelets in Biomedical Signal Processing (IEEE Press, 1998) and Nonlinear Biomedical Signal Processing, Volume II: Dynamic Analysis and Modeling (IEEE Press, 2000). He holds two U.S. patents.

Digital version available through Wiley Online Library

Permissions

To apply for permission please send your request to permissions@wiley.com with
specific details of your requirements. This should include, the Wiley title(s), and the specific portion of the content you wish to re-use
(e.g figure, table, text extract, chapter, page numbers etc), the way in which you wish to re-use it, the circulation/print run/number of people
who will have access to the content and whether this is for commercial or academic purposes. If this is a republication request please include details
of the new work in which the Wiley content will appear.